Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rockingham County, NC

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rockingham County, NC
Series ID MHICIUBNC37157A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 12:50 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 26379
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30196
1994-01-01 .
1995-01-01 32541
1996-01-01 .
1997-01-01 35366
1998-01-01 36328
1999-01-01 35374
2000-01-01 37350
2001-01-01 36144
2002-01-01 36158
2003-01-01 36722
2004-01-01 37816
2005-01-01 37849
2006-01-01 39915
2007-01-01 42322
2008-01-01 40203
2009-01-01 38188
2010-01-01 40011
2011-01-01 38849
2012-01-01 40279
2013-01-01 43746
2014-01-01 42451
2015-01-01 43392
2016-01-01 44103
2017-01-01 49944
2018-01-01 44351
2019-01-01 48008
2020-01-01 55676
2021-01-01 51424
2022-01-01 56455

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